Inspiration
We realized that when a patient leaves the hospital, it can be difficult for them to assess whether they are recovering properly. Without quick access to medical care, their health can deteriorate rapidly. To address this problem, we built a full-stack application along with an AI agent designed to assist patients primarily during their post-hospitalization period, but also in their daily lives.
What It Does
MediSync provides an intuitive interface that supports patients throughout their post-hospital journey, helping them track their recovery and stay connected with their healthcare needs.
How We Built It
We developed MediSync using a combination of technologies:
-Frontend: React, Typescript, SCSS
- Backend: Java with Spring Boot
- Database: PostgreSQL
- Deployment: Heroku , Netlify
Challenges We Ran Into
- CORS issues were a major challenge. As of now, it remains unresolved, but we are actively working on it.
- Defining and integrating API endpoints took longer than expected due to the complexity of handling different healthcare-related data.
Accomplishments That We're Proud Of
- Successfully implementing RAG + AI agent to provide accurate responses to patient inquiries related to their health.
What's Next for MediSync
- Admin Dashboard: Currently, management is done via API calls, but we plan to create a dedicated interface.
- Expanded Device Support: Adding more medical devices such as smart scales for tracking weight, body fat, and other health metrics.
- Real-Time Doctor-Patient Communication: Implementing WebSockets for instant messaging between docto
Built With
- font-awesome
- gemini
- heroku
- java
- javascript
- langchain
- psql
- python
- react
- scss
- springboot
- typescript
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